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Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/15410

Titre: Feedback motion planning for car-like robots
Auteur(s): Derar, Iyed
Khoumari, Malik
Guernane, Reda (supervisor)
Mots-clés: Feedback motion planning
Car-like robot
Rapidly random tree star (RRT)
Date de publication: 2024
Editeur: Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric
Résumé: In this study, we address the problem of feedback motion planning for a car-like robot de-scribed by a kinematic model, navigating through obstacles. For this purpose, we designed two sampling-based algorithms equipped with the feedback property, a Modifie dRapidly Exploring Random Tree Star (RRT*) algorithm and a Funnel-Graph algorithm. Both al-gorithms generate collision-free paths while accounting for non-holonomic constraints and uncertainties. These generated paths are then fed to the pure pursuit controller which han-dles the robot motion execution. Our approach is validated by testing the algorithms’ ability to handle differen tuncertaintie san dadaptability to environmental changes,including a performance comparison between them. The results show the superiority of the funnel-graph algorithm across all tests, which makes it best suited for real-time applications.
Description: 70 p.
URI/URL: http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/15410
Collection(s) :Contrôle

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